Gradient-based Learning Methods Extended to Smooth Manifolds Applied to Automated Clustering

Grassmann manifold based sparse spectral clustering is a classification technique that  consists in learning a latent representation of data, formed by a subspace basis, which  is sparse. In order to learn a latent representation, spectral clustering is formulated in  terms of a loss minimization pr...

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Bibliographic Details

Published in:	The Journal of artificial intelligence research Vol. 68; pp. 777 - 816
Main Authors:	Koudounas, Alkis, Fiori, Simone
Format:	Journal Article
Language:	English
Published:	San Francisco AI Access Foundation 17.08.2020
Subjects:	Algorithms Artificial intelligence Clustering Machine learning Manifolds (mathematics) Optimization Parameters Representations
ISSN:	1076-9757, 1076-9757, 1943-5037
Online Access:	Get full text
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